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GeomRDF: A Geodata Converter with a Fine-Grained Structured Representation of Geometry in the Web

Abstract : In recent years, with the advent of the web of data, a growing number of national mapping agencies tend to publish their geospatial data as Linked Data. However, differences between traditional GIS data models and Linked Data model can make the publication process more complicated. Besides, it may require , to be done, the setting of several parameters and some expertise in the semantic web technologies. In addition, the use of standards like GeoSPARQL (or ad hoc predicates) is mandatory to perform spatial queries on published geospa-tial data. In this paper, we present GeomRDF, a tool that helps users to convert spatial data from traditional GIS formats to RDF model easily. It generates ge-ometries represented as GeoSPARQL WKT literal but also as structured geome-tries that can be exploited by using only the RDF query language, SPARQL. GeomRDF was implemented as a module in the RDF publication platform Datalift. A validation of GeomRDF has been realized against the French administrative units dataset (provided by IGN France).
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Contributor : Nathalie Abadie <>
Submitted on : Sunday, December 1, 2019 - 1:15:00 AM
Last modification on : Tuesday, December 1, 2020 - 2:54:05 PM
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  • HAL Id : hal-02388091, version 1



Fayçal Hamdi, Nathalie Abadie, Bénédicte Bucher, Abdelfettah Feliachi. GeomRDF: A Geodata Converter with a Fine-Grained Structured Representation of Geometry in the Web. 1st International Workshop on Geospatial Linked Data (GeoLD 2014). In Conjunction with the 10th International Conference on Semantic Systems, 2014, Leipzig, Germany. ⟨hal-02388091⟩



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